Open AccessStudy on control strategy for personalised lane‐change on highway
Author(s) -
Cheng Senlin,
Wang Chuanhai,
Zhang Shuangteng,
Zong Ruixue,
Deng Xinli
Publication year - 2018
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8269
Subject(s) - adaptability , computer science , control (management) , matlab , driving simulator , process (computing) , safe driving , transport engineering , simulation , risk analysis (engineering) , engineering , automotive engineering , artificial intelligence , business , ecology , biology , operating system
The driving assistant system is conducive to reduce the accidents caused by operational mistakes in the complex environment of lane‐change on the highway. However, the adaptability between the system and drivers has not been taken into consideration. To solve this problem, this study put forward a personalised driving assistant strategy in the process of highway lane‐change. In the study, as a methodology based on the measured data of vehicle dynamic characteristics and personalised driving characteristics, it established a criterion for the personalised driving model, dissected the factors affecting driving safety and put forward a risk assessment method for individualised driving according to the criterion. Taken Matlab/Simulink software as a simulation experiment platform, it verified the rationality and feasibility of the individualised driving‐aid strategy of highway lane‐change with the aid of the adaptive model predictive control algorithm. The study results show that the personalised driving criterion and risk assessment method proposed in this study can effectively distinguish the driving styles and driving risks of different drivers, and the personalised driving assistance strategy not only respects different drivers’ individualised operation styles but also effectively controls driving risks.